Overview
- Updates readers on key research findings in genome sequencing and functional genomics
- Focuses on the impact of genome sequencing on plant breeding
- Will be of interest to scientists in plant genetic research and crop breeding
- Includes supplementary material: sn.pub/extras
Part of the book series: Compendium of Plant Genomes (CPG, volume 4)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Front Matter
Keywords
About this book
This book provides insights into the latest achievements in genomics research on Brassica rapa. It describes the findings on this Brassica species, the first of the U’s triangle that has been sequenced and a close relative to the model plant Arabidopsis, which provide a basis for investigations of major Brassica crop species. Further, the book focuses on the development of tools to facilitate the transfer of our rich knowledge on Arabidopsis to a cultivated Brassica crop.
Key topics covered include genomic resources, assembly tools, annotation of the genome, transposable elements, comparative genomics, evolution of Brassica genomes, and advances in the application of genomics in the breeding of Brassica rapa crops.
Editors and Affiliations
Bibliographic Information
Book Title: The Brassica rapa Genome
Editors: Xiaowu Wang, Chittaranjan Kole
Series Title: Compendium of Plant Genomes
DOI: https://doi.org/10.1007/978-3-662-47901-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-47900-1Published: 17 September 2015
Softcover ISBN: 978-3-662-51690-4Published: 22 October 2016
eBook ISBN: 978-3-662-47901-8Published: 05 September 2015
Series ISSN: 2199-4781
Series E-ISSN: 2199-479X
Edition Number: 1
Number of Pages: VIII, 169
Number of Illustrations: 2 b/w illustrations, 36 illustrations in colour
Topics: Plant Breeding/Biotechnology, Plant Genetics and Genomics, Agriculture, Bioinformatics